Aimei Wu

1.1k total citations
19 papers, 821 citations indexed

About

Aimei Wu is a scholar working on Molecular Biology, Neurology and Electrical and Electronic Engineering. According to data from OpenAlex, Aimei Wu has authored 19 papers receiving a total of 821 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Neurology and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Aimei Wu's work include Intracerebral and Subarachnoid Hemorrhage Research (5 papers), Conducting polymers and applications (3 papers) and Alzheimer's disease research and treatments (2 papers). Aimei Wu is often cited by papers focused on Intracerebral and Subarachnoid Hemorrhage Research (5 papers), Conducting polymers and applications (3 papers) and Alzheimer's disease research and treatments (2 papers). Aimei Wu collaborates with scholars based in China, United States and India. Aimei Wu's co-authors include Sanjeev K. Manohar, Harsha Kolla, Tejraj M. Aminabhavi, Peter P. Antich, Jue Wang, Veera Arora, Celeste A. Roney, Hsing‐Wen Sung, Anandrao R. Kulkarni and Padmakar V. Kulkarni and has published in prestigious journals such as Macromolecules, Journal of Controlled Release and Sensors and Actuators B Chemical.

In The Last Decade

Aimei Wu

19 papers receiving 794 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Aimei Wu China	9	249	205	196	190	158	19	821
Junghong Park South Korea	10	271 1.1×	82 0.4×	142 0.7×	70 0.4×	188 1.2×	12	792
Daniel A. Riccio United States	11	403 1.6×	77 0.4×	263 1.3×	103 0.5×	178 1.1×	16	1.0k
Sachin Mishra Singapore	16	289 1.2×	77 0.4×	121 0.6×	171 0.9×	77 0.5×	30	779
Shiyong Song China	19	252 1.0×	128 0.6×	239 1.2×	95 0.5×	242 1.5×	38	989
Hongbo Yuan China	19	318 1.3×	56 0.3×	259 1.3×	63 0.3×	177 1.1×	52	849
Huiru Yang China	23	449 1.8×	110 0.5×	485 2.5×	268 1.4×	136 0.9×	93	1.4k
Rumiana Tzoneva Bulgaria	17	295 1.2×	88 0.4×	202 1.0×	69 0.4×	233 1.5×	58	1.0k
David J. Hayne Australia	21	281 1.1×	144 0.7×	429 2.2×	219 1.2×	68 0.4×	60	1.4k
Guang Li China	18	127 0.5×	99 0.5×	168 0.9×	63 0.3×	97 0.6×	40	1.1k

Countries citing papers authored by Aimei Wu

Since Specialization

Citations

This map shows the geographic impact of Aimei Wu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Aimei Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aimei Wu more than expected).

Fields of papers citing papers by Aimei Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aimei Wu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Aimei Wu. The network helps show where Aimei Wu may publish in the future.

Co-authorship network of co-authors of Aimei Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Aimei Wu. A scholar is included among the top collaborators of Aimei Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Aimei Wu. Aimei Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

Wu, Aimei, et al.. (2024). Dynamic changes of media prefrontal cortex astrocytic activity in response to negative stimuli in male mice. Neurobiology of Stress. 33. 100676–100676. 2 indexed citations

Geng, Zhi, Yibing Yan, Tao Guo, et al.. (2024). Development and validation of a machine learning-based predictive model for assessing the 90-day prognostic outcome of patients with spontaneous intracerebral hemorrhage. Journal of Translational Medicine. 22(1). 236–236. 14 indexed citations

Geng, Zhi, et al.. (2024). Prognostic Significance of Uric Acid Levels in Intracerebral Hemorrhage Patients. Neuropsychiatric Disease and Treatment. Volume 20. 449–458. 1 indexed citations

Geng, Zhi, et al.. (2023). Development and validation of a novel clinical prediction model to predict the 90-day functional outcome of spontaneous intracerebral hemorrhage. Frontiers in Neurology. 14. 1260104–1260104. 3 indexed citations

Li, Shanshan, et al.. (2022). Skullcapflavone II protects neuronal damage in cerebral ischemic rats via inhibiting NF-ĸB and promoting angiogenesis. Microvascular Research. 141. 104318–104318. 7 indexed citations

Wu, Aimei, Yue Hong, Fang Huang, et al.. (2022). Serum β2-microglobulin is closely associated with 3-month outcome of acute intracerebral hemorrhage: a retrospective cohort study. Irish Journal of Medical Science (1971 -). 192(4). 1875–1881. 1 indexed citations

Li, Weiqin, et al.. (2022). Triphlorethol‐A attenuates U251 human glioma cancer cell proliferation and ameliorates apoptosis through JAK2/STAT3 and p38 MAPK/ERK signaling pathways. Journal of Biochemical and Molecular Toxicology. 36(9). e23138–e23138. 7 indexed citations

Li, Shanshan, et al.. (2022). Gold nanourchin enhances detection of Alzheimer's disease biomarker “miRNA‐137” on dual electrode sensing surface. Biotechnology and Applied Biochemistry. 69(6). 2573–2579. 4 indexed citations

Li, Weiqin, et al.. (2020). Expression of Concern Issued: Exosome-Mediated Transfer of Long Noncoding RNA HOTAIR Regulates Temozolomide Resistance by miR-519a-3p/RRM1 Axis in Glioblastoma. Cancer Biotherapy and Radiopharmaceuticals. 23 indexed citations

10.

Wu, Aimei, et al.. (2020). Genetically Confirmed CARASIL: Case Report with Novel HTRA1 Mutation and Literature Review. World Neurosurgery. 143. 121–128. 10 indexed citations

11.

Liu, Linqing, Lei Hu, Jiang Xu, et al.. (2019). MiR-92a antagonized the facilitation effect of extracellular matrix protein 1 in GC metastasis through targeting its 3′UTR region. Food and Chemical Toxicology. 133. 110779–110779. 6 indexed citations

12.

Rahy, Abdelaziz, et al.. (2009). Nano‐emulsion use for the synthesis of polyaniline nano‐grains or nano‐fibers. Polymers for Advanced Technologies. 22(5). 664–668. 10 indexed citations

13.

Wu, Aimei, Everaldo C. Venâncio, & Alan G. MacDiarmid. (2007). Polyaniline and polypyrrole oxygen reversible electrodes. Synthetic Metals. 157(6-7). 303–310. 45 indexed citations

14.

Roney, Celeste A., Padmakar V. Kulkarni, Veera Arora, et al.. (2005). Feature Article: Polymeric Nanoparticulate Drug Delivery Through The Blood Brain Barrier. 30(10). 311–321. 2 indexed citations

15.

Roney, Celeste A., Padmakar V. Kulkarni, Veera Arora, et al.. (2005). Targeted nanoparticles for drug delivery through the blood–brain barrier for Alzheimer's disease. Journal of Controlled Release. 108(2-3). 193–214. 307 indexed citations

16.

Wu, Aimei, Harsha Kolla, & Sanjeev K. Manohar. (2005). Chemical Synthesis of Highly Conducting Polypyrrole Nanofiber Film. Macromolecules. 38(19). 7873–7875. 126 indexed citations

17.

Parikh, Kunjal, et al.. (2005). Flexible vapour sensors using single walled carbon nanotubes. Sensors and Actuators B Chemical. 113(1). 55–63. 134 indexed citations

18.

Wang, Jue, et al.. (2001). Thermal conductivity and modification of silica aerogels prepared with polymeric precursors. High Temperatures-High Pressures. 33(2). 135–140. 2 indexed citations

19.

Deng, Zhongsheng, Jue Wang, Aimei Wu, Jun Shen, & Bin Zhou. (1998). High strength SiO2 aerogel insulation. Journal of Non-Crystalline Solids. 225. 101–104. 117 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact